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11921 |
Retraction Note: Machine learning intelligent based hydromagnetic thermal transport under Soret and Dufour effects in convergent/divergent channels: a hybrid evolutionary numerical algorithm
Enthalten in Scientific reports Bd. 15, 14.4.2025, Nr. 1, date:12.2025: 1
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11922 |
Retraction Note: Machine learning prediction of the Madden-Julian oscillation
Enthalten in npj climate and atmospheric science Bd. 8, 14.2.2025, Nr. 1, date:12.2025: 1
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11923 |
Retraction Note: Research on effectiveness of college english blended teaching mode under small private online course based on machine learning
Enthalten in Discover applied sciences Bd. 6, 10.6.2024, Nr. 6, date:6.2024: 1
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11924 |
Retraction Note: Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients
Enthalten in Journal of cancer research and clinical oncology Bd. 151, 6.2.2025, Nr. 2, date:2.2025: 1
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11925 |
Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data
Enthalten in Scientific reports Bd. 15, 2.5.2025, Nr. 1, date:12.2025: 1-12
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11926 |
Retrieval of nicotine content in cigar leaves by remote analysis of aerial hyperspectral combining machine learning methods
Enthalten in Scientific reports Bd. 15, 31.1.2025, Nr. 1, date:12.2025: 1-14
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11927 |
Retrospective analysis of interpretable machine learning in predicting ICU thrombocytopenia in geriatric ICU patients
Enthalten in Scientific reports Bd. 14, 20.7.2024, Nr. 1, date:12.2024: 1-13
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11928 |
Revealing accuracy in climate dynamics: enhancing evapotranspiration estimation using advanced quantile regression and machine learning models
Enthalten in Applied water science Bd. 14, 24.6.2024, Nr. 7, date:7.2024: 1-22
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11929 |
Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learning
Enthalten in BMC neurology Bd. 18, 10.1.2018, Nr. 1, date:12.2018: 1-8
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11930 |
Revealing effective regional decarbonisation measures to limit global temperature increase in uncertain transition scenarios with machine learning techniques
Enthalten in Climatic change Bd. 176, 16.6.2023, Nr. 7, date:7.2023: 1-23
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Administration
